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Transformation between linear network features in convolution approach
Author(s) -
Székely Vladimír,
Szalai Albin
Publication year - 2015
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.1928
Subject(s) - convolution (computer science) , transformation (genetics) , logarithm , simple (philosophy) , variable (mathematics) , network analysis , linear circuit , logarithmic scale , computer science , mathematics , linear map , scale (ratio) , algorithm , algebra over a field , mathematical analysis , equivalent circuit , pure mathematics , artificial intelligence , engineering , artificial neural network , voltage , electrical engineering , physics , biochemistry , chemistry , philosophy , epistemology , quantum mechanics , acoustics , gene
This paper deals with the description of general linear passive circuit features by using convolution equations. For this purpose, the variables of linear networks are transformed to the logarithmic scale, which is widely used in the case of frequency variable. On the other hand, it is an unconventional method for complex frequency and time variables. The introduced relations are suitable for complex calculations in a direct and simple way. Copyright © 2013 John Wiley & Sons, Ltd.